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The literature has dealt with the relationship between board characteristics (BC) and firm performance (FP) on a large scale. However, it yielded inconsistent results. Thus, this paper aims to examine the indirect relationship between BC and FP through the mediating role of the capital structure (CS).

This study used a sample of 528 non-financial companies listed on Bursa Malaysia from 2015 to 2019. Also, a two-step system generalised method of moments estimation technique was applied.

The results show that board diversity and the frequency of board meetings positively affect financial performance, and it is negatively influenced by board turnover, size and independence. Also, the results indicate a positive relationship between the independence of the board and all CS variables. Importantly, the findings support the policy-setting role of the board of directors where CS (measured by total debt and short-term debt) suppresses some governance mechanisms’ detrimental effect on FP. Hence, the board of directors, apart from the monitoring function, introduce various policies (financial and non-financial) that enhance the overall performance of companies.

These results are consistent with the agency’s perspective that management practices in selecting the optimal capital reduce agency costs and improve performance. The findings contribute to developing a broader theoretical framework that accounts for the policy-setting role of the board of directors. The current study model of corporate governance offers insight for policymakers into the role of corporate governance other than monitoring functions in organisations and how CS should be taken into consideration with corporate governance and FP association.

Promoting electric vehicles (EVs) is an effective way to achieve carbon neutrality. If EVs are widely adopted, this will undoubtedly be good for the environment. The purpose of this study is to analyze the impact of network externalities and subsidy on the strategies of manufacturer under a carbon neutrality constraint.

In this paper, the authors propose a game-theoretic framework in an EVs supply chain consisting of a government, a manufacturer and a group of consumers. The authors examine two subsidy options and explain the choice of optimal strategies for government and manufacturer.

First, the authors find that the both network externalities of charging stations and government subsidy can promote the EV market. Second, under a relaxed carbon neutrality constraint, even if the government’s purchase subsidy investment is larger than the carbon emission reduction technology subsidy investment, the purchase subsidy policy is still optimal. Third, under a strict carbon neutrality constraint, when the cost coefficient of carbon emission reduction and the effectiveness of carbon emission reduction technology are larger, social welfare will instead decrease with the increase of the effectiveness of emission reduction technology and then, the manufacturer’s investment in carbon emission reduction technology is lower. In the extended model, the authors find the effectiveness of carbon emission reduction technology can also promote the EV market and social welfare (or consumer surplus) is the same whatever the subsidy strategy.

The network externalities of charging stations and the subsidy effect of the government have a superimposition effect on the promotion of EVs. When the network effect of charging stations is relatively strong, government can withdraw from the subsidized market. When the network effect of charging stations is relatively weak, government can intervene appropriately.

Comparing previous studies, this study reveals the impact of government intervention, network effects and carbon neutrality constraints on the EV supply chain. From a sustainability perspective, these insights are compelling for both EV manufacturers and policymakers.

There are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.

This study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.

This study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.

This study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.

The post-pandemic crisis has reshaped work dynamics across industries, leading to a widespread reliance on technology for remote work and business continuity. Operations have shifted to the digital space, altering job requirements and creating new career opportunities. The expansion of the digital industry has generated numerous career choices. The purpose of this study is to determine the relationships between self-efficacy, social media, career outcome expectations and career choices among fresh graduates in Malaysia amid the pandemic crisis.

Research data were collected from a sample of 318 fresh graduates from both public and private universities in Malaysia. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data in this study.

The empirical findings revealed significant correlations between self-efficacy, social media usage and career outcome expectations and the career choices of Malaysian fresh graduates.

The present study offers an empirical framework to explain career choices among fresh graduates in Malaysia during the pandemic crisis, based on a review of related literature on careers. This research contributes to the body of knowledge on career choices among Generation Z fresh graduates and provides practical implications for organizations and individual employees. It suggests developing relevant Human Resource Development (HRD) interventions to retain the young workforce within organizations.

This study enriches the existing literature on self-efficacy, social media and career outcome expectations in the context of a pandemic crisis. It offers a new interpretation of how individual and contextual factors impact career choices, shaping the career management attitudes of fresh graduates in the post-pandemic era. The empirical findings also give valuable insights into higher education institutions, organizations and government authorities in Malaysia to develop relevant interventions to assist undergraduate students in their career choice exploration.

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

The results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.

This is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

This paper aims to understand Chinese tourists’ changing shopping experience in Macao. In scrutinizing reviews posted in the pre-COVID and during COVID eras, the study has identified changing patterns in Chinese tourists’ shopping experiences, including increased leisure components while shopping, decreased luxury pursuits and an improved overall leisure and shopping experience because of decreased prices in accommodation and a less crowded retail and leisure environment. An emergent opportunity to provide “retail-tainment” experience is discussed.

This study aims to synthesize and analyze research on the Supply Chain Management Practices (SCMPs)-performance nexus, examine current knowledge, identify emerging trends, and provide plausible suggestions for future research engagements in the manufacturing sector in the context of Developing and Emerging Economies (DEEs).

Following a systematic review approach, this study analyzed 20 peer-reviewed scientific journal articles published between 2007 and 2021. The study sample was systematically selected from the Web of Science (WoS) and Google Scholar databases, following strict evaluation and selection criteria.

Numerous dimensions of SCMPs have been considered in the extant literature; however, six have stood out as the most common. In addition, operational performance stood out as the most widely investigated measure in the SCM literature. Moreover, SCMPs have predominantly shown positive effects on performance outcomes. Methodological issues that future studies should consider are suggested.

The sample size was not sufficiently large relative to the rule of thumb set in the literature because of the scarcity of studies in the manufacturing sector in the DEEs context. Despite these limitations, the results of this study provide crucial insights into knowledge and practice.

This review is the first of its kind to examine the SCMPs-performance nexus in the context of DEEs. Based on the findings of this study, future research directions are proposed.

The purpose of this study is to investigate the impact of big data (BD) analytics capabilities (BDACs) on green supply chain integration (GSCI) and green innovation (GI) in the context of a developing country, Jordan. In addition, the mediating effect of GSCI on the relationship between BDAC and GI is investigated.

Data collection was carried out through a survey with 300 respondents from food and beverages manufacturing firms located in Jordan. Partial least squares-structural equation modeling (PLS-SEM) technique was applied to analyze the collected data. Natural resource-based view (NRBV) theory was the adopted theoretical lens for this study.

The results revealed that BDAC positively and significantly affects both GSCI and GI. In addition, the results demonstrated that GSCI positively and significantly affects GI. Further, it is also found that GSCI positively and significantly mediates the relationship between BDAC and GI.

This study developed a theoretical and empirical model to investigate the relationship between BDAC, GSCI and GI. This study offers new theoretical and managerial contributions that add value to the supply chain (SC) management literature by testing the mediation model in food and beverages manufacturing firms located in Jordan.

The purpose of this study is to use empirical data to examine the hierarchical impact of the Internet of things capability on supply chain integration (SCI), supply chain capability (SCC) and firm performance (FP) in the UK retail industry.

A deductive approach was employed to carry out this research. Structural equation modelling (SEM) was performed using the partial least square method (SmartPLS 3.3.3) to test theoretical predictions which underlie the relationships among Internet of things capability (IoTC), SCI, SCC and FP. Data are collected using an online survey completed by senior executives of 66 large, medium and small firms within the UK retail industry.

The empirical results of this research reveal that IoTC has a significant positive effect on the UK retail industry FP through the mediating role of SCI and SCC.

The research results from this study provide useful management insights for firms within the retail industry into the development of effective strategies for integrating their supply chain alongside the adoption of IoTC into SCI, consequently leading to improvements in FP.

Although previous studies have explored the impact of IoT on FP through the sequential mediating role of SCI and SCC, few have explored the impact of the IoT capability (IoTC) on FP through sequential mediators, i.e. SCI and SCC. This study examines the relationship between IoTC, SCI, SCC and FP in the UK retail industry supply chain to address this knowledge gap. Moreover, this study examines the effects of IoTC on FP by applying partial least square (PLS)-SEM techniques. Testing the sequential mediating role of SCI and SCI is undertaken, and the relationships among IoT-enabled SCI and SCC is analysed to improve FP. The robustness check's result through PLSpredict analysis also confirms the power of the model proposed in this study.

The primary objective of introducing nonstate ownership into state-owned enterprises (SOEs) is to enhance corporate performance. This study explores how nonstate ownership affects corporate performance, emphasizing agency costs as the primary mechanism.

Using data from 2010 to 2019 for listed SOEs, the authors measure nonstate ownership based on shareholding ratios, control rights and shareholding–control matching. The authors also use fixed-effects and mediation-effects models, with agency costs as the primary mechanism.

Increased nonstate shareholding ratios, stronger control rights and improved shareholding–control matching promote SOE performance. Nonstate shareholding ratios boost performance through resource effects, while control rights and shareholding–control matching promote performance by mitigating agency costs. A heterogeneity analysis indicates stronger effects in local SOEs and highly marketized regions. Moreover, control rights and shareholding–control matching reinforce the positive impact of shareholding ratios on performance.

The mixed-ownership reform of Chinese SOEs aims to optimize shareholding and control structures between state and nonstate shareholders. Therefore, research on the impact of nonstate shareholding ratios, control rights and shareholding–control matching on corporate performance is highly pertinent. However, existing studies have focused on the effects of single factors on performance, without exploration of the economic implications of shareholding–control matching. This study not only prioritizes the optimization of shareholding and control structures but also underscores the importance of granting nonstate shareholders control rights proportionate to their shareholding, providing critical evidence of the value of improving SOEs' ownership structure.